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DN2265 Parallel Computations for Large-Scale Problems, Part 2 3.0 credits

Course offering missing for current semester as well as for previous and coming semesters
Headings with content from the Course syllabus DN2265 (Autumn 2009–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The participants can choose their own project (subject to approval by the course leader) or select from a list of computationally expensive projects from different areas of applications (financial mathematics, fluid dynamics, computational chemistry, image processing, ...).

Intended learning outcomes

The goal of this course is to provide a deep understanding of the practical and theoretical issues of solving a complex project in high-performance computing.

This understanding means that after the course you are able to:

  • find properties of a given problem which may by used for a potential parallelization
  • discuss alternatives and select algorithms for the problem
  • implement your project on a parallel computer
  • evaluate the performance and discuss the results
  • present your results in a report and at a seminar.

Course disposition

No information inserted

Literature and preparations

Specific prerequisites

Single course students: 90 university credits including 45 university credits in Mathematics or Information Technology. English B, or equivalent.

Recommended prerequisites

2D1264/DN2264 Parallel Computations for Large-Scale Problems, part 1 or corresponding.


No information inserted


It varies depending on the project.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F


  • PRO1 - Project, 3.0 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

In this course all the regulations of the code of honor at the School of Computer science and Communication apply, see:

Other requirements for final grade

Project work (PRO1; 3 university credits)

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted


Profile picture Michael Hanke

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web DN2265

Offered by


Main field of study

This course does not belong to any Main field of study.

Education cycle

Second cycle

Add-on studies

Please discuss with the course leader.


Michael Hanke, tel: 790 6278, e-post: